Triple
T20225685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Theatres |
E495370
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Lev Ivanov |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lev Ivanov | Statement: [Imperial Theatres, employer, Lev Ivanov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lev Ivanov Context triple: [Imperial Theatres, employer, Lev Ivanov]
-
A.
Lev Ivanov
chosen
Lev Ivanov was a Russian ballet dancer and choreographer best known for co-choreographing classics like Swan Lake and The Nutcracker for the Imperial Russian Ballet.
-
B.
Vyacheslav Ivanov
Vyacheslav Ivanov is a Soviet rower renowned for winning three consecutive Olympic gold medals in single sculls from 1956 to 1964.
-
C.
Vsevolod Volkov
Vsevolod Volkov was the son of Zinaida Volkova, making him a grandson of the Russian revolutionary Leon Trotsky.
-
D.
Vasiliy Fet
Vasiliy Fet is a tough, resourceful exterminator-turned-vampire hunter in the horror television series "The Strain."
-
E.
Alexander Tvardovsky
Alexander Tvardovsky was a prominent Soviet poet and editor, best known for his narrative poem "Vasily Tyorkin" and his influential leadership of the literary magazine Novy Mir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd9c1f4819092a98f5fa84fb795 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.